126 to 150 of 713 Databricks Jobs

for a high-growth Financial Services or FinTech firm. A Data Engineering background (or similar) with excellent hands-on experience and understanding of Data Warehouse (e.g. BigQuery, Redshift, Snowflake, Databricks), orchestration, data modelling and cloud technology (AWS, GCP, Azure) Strong AI literacy, including leveraging AI to pull insights from structured and unstructured data Excellent communication skills with the ability to More ❯

for a high-growth Financial Services or FinTech firm. A Data Engineering background (or similar) with excellent hands-on experience and understanding of Data Warehouse (e.g. BigQuery, Redshift, Snowflake, Databricks), orchestration, data modelling and cloud technology (AWS, GCP, Azure) Strong AI literacy, including leveraging AI to pull insights from structured and unstructured data Excellent communication skills with the ability to More ❯

Agile delivery Knowledge of compliance, regulatory reporting, and enterprise operational processes Proven experience delivering complex software solutions Strong leadership and stakeholder management skills Bonus: Python, Azure Data Factory/Databricks, data analysis, and COTS platforms Package: £85,000 15% non-contributory pension Hybrid working (3 days per week) Performance-based bonus scheme Comprehensive benefits package including pension, healthcare, and wellbeing More ❯

data pipelines Automating and orchestrating workflows (AWS Glue, Azure Data Factory, GCP Dataflow) Working across leading cloud platforms (AWS, Azure, or GCP) Implementing and optimising modern data architectures (e.g. Databricks, Snowflake) Collaborating with multidisciplinary teams to deliver real business value What were looking for Strong experience with Python, SQL , and pipeline tools such as dbt or Airflow Proven background in More ❯

data pipelines Automating and orchestrating workflows (AWS Glue, Azure Data Factory, GCP Dataflow) Working across leading cloud platforms (AWS, Azure, or GCP) Implementing and optimising modern data architectures (e.g. Databricks, Snowflake) Collaborating with multidisciplinary teams to deliver real business value What we re looking for Strong experience with Python, SQL , and pipeline tools such as dbt or Airflow Proven background More ❯

Agile delivery Knowledge of compliance, regulatory reporting, and enterprise operational processes Proven experience delivering complex software solutions Strong leadership and stakeholder management skills Bonus: Python, Azure Data Factory/Databricks, data analysis, and COTS platforms Package: £100,000 15% non-contributory pension Hybrid working (3 days per week) Performance-based bonus scheme Comprehensive benefits package including pension, healthcare, and wellbeing More ❯

Agile delivery Knowledge of compliance, regulatory reporting, and enterprise operational processes Proven experience delivering complex software solutions Strong leadership and stakeholder management skills Bonus: Python, Azure Data Factory/Databricks, data analysis, and COTS platforms Package: £100,000 15% non-contributory pension Hybrid working (3 days per week) Performance-based bonus scheme Comprehensive benefits package including pension, healthcare, and wellbeing More ❯

Agile delivery Knowledge of compliance, regulatory reporting, and enterprise operational processes Proven experience delivering complex software solutions Strong leadership and stakeholder management skills Bonus: Python, Azure Data Factory/Databricks, data analysis, and COTS platforms Package: £85,000 15% non-contributory pension Hybrid working (3 days per week) Performance-based bonus scheme Comprehensive benefits package including pension, healthcare, and wellbeing More ❯

data pipelines Automating and orchestrating workflows (AWS Glue, Azure Data Factory, GCP Dataflow) Working across leading cloud platforms (AWS, Azure, or GCP) Implementing and optimising modern data architectures (e.g. Databricks, Snowflake) Collaborating with multidisciplinary teams to deliver real business value What we’re looking for Strong experience with Python, SQL , and pipeline tools such as dbt or Airflow Proven background More ❯

We’re Looking For Experience building data pipelines using Spark or Pandas . Familiarity with major cloud platforms (AWS, Azure, or GCP). Understanding of big data tools (EMR, Databricks, DataProc). Knowledge of data architectures (Data Lakes, Warehouses, Mesh). A proactive mindset with a passion for learning new technologies. Nice-to-Have Skills Automated data quality checks and More ❯

tools, architecture repositories, and visual communication. Experience in assessing emerging technologies and their impact on enterprise architecture. Desirable Skills Experience with Microsoft Azure technologies (e.g., Data Factory, Synapse, ADLS, Databricks, Power BI). Understanding of enterprise data architecture and analytics platforms. More ❯

tools, architecture repositories, and visual communication. Experience in assessing emerging technologies and their impact on enterprise architecture. Desirable Skills Experience with Microsoft Azure technologies (e.g., Data Factory, Synapse, ADLS, Databricks, Power BI). Understanding of enterprise data architecture and analytics platforms. More ❯

Skills: Ability to engage with stakeholders, explain complex concepts, and influence technical decisions. Certifications: AWS Certified Solutions Architect and/or TOGAF 9 or equivalent. Bonus Skills: Experience with Databricks, Snowflake, Palantir, Quantexa, SAS, AI/ML, GenAI, or work in regulated industries like the Public Sector. More ❯

payer, provider, or clinical data environments). Exposure to object-oriented programming in a language such as Python or Go. Familiarity with modern data warehouses (Snowflake, BigQuery, Redshift, or Databricks). Strong understanding of data modeling principles, testing, and documentation best practices Skills: Data Engineering dbt (Data Build Tool) SQL Data warehouses Data modeling Education: BS degree or equivalent practical More ❯

to build scalable ETL/ELT pipelines and implement strong data governance and security controls. Experience with batch and real-time integrations , ODBC connectors, and REST APIs. Exposure to Databricks or Microsoft Fabric (desirable). A track record of working in complex ERP environments and supporting digital or data transformation programmes. Our client is investing heavily in technology and committed More ❯

Key Experience Strong experience in a pre-sales or solution architecture role focused on data and analytics. Expertise in Microsoft Azure data services , including Fabric, Synapse Analytics, Power BI, Databricks, and Azure AI Skilled in data architecture patterns , data lakes, and lakehouse design. Demonstrable experience creating value-driven proposals and technical demos for enterprise customers. Excellent communication and storytelling skills More ❯

experience in data architecture and modelling (3NF, Kimball, Data Vault). Deep understanding of database design, metadata-driven pipelines, and data integration. Proven experience with Azure Data Services-including Databricks, Data Factory, Azure SQL, and CosmosDB. Expertise in data warehousing, data lakes, and lakehouse architectures. Strong knowledge of MDM, data cataloguing, and data lineage management. Experience across the full technology More ❯

of experience in a Data Architect or similar senior data role. Strong knowledge of data modeling, data warehousing, ETL/ELT design, and database technologies (e.g., Snowflake, Azure, SQL, Databricks). Proven experience working in complex data environments, ideally in the energy or industrial sector. Familiarity with data governance frameworks, metadata management, and master data management. Excellent communication and stakeholder More ❯

track record building and maintaining scalable data platforms in production, enabling advanced users such as ML and analytics engineers. Hands-on experience with modern data stack tools - Airflow, DBT, Databricks, and data catalogue/observability solutions like Monte Carlo, Atlan, or DataHub. Solid understanding of cloud environments (AWS or GCP), including IAM, S3, ECS, RDS, or equivalent services. Experience implementing More ❯

.NET) include: Work directly with Front Office teams, partnering with traders and analysts to deliver a prioritised development backlog Solve diverse technical challenges using Excel, Python, C#, SQL Server, Databricks, Angular, Azure, PowerShell/Bash, Docker, Kubernetes, Git, DevOps, Bicep, and AI tools Understand the business context of requests to deliver high-value, practical solutions Write clean, maintainable, and testable More ❯

LLMs, agentic frameworks) Ability to bridge technical and commercial conversations confidently A logical, creative problem-solver who can turn data into ROI Nice-to-haves Spark/PySpark/Databricks or distributed data experience Familiarity with AWS (S3, EMR) or Hive-based environments Consulting or enterprise B2B experience Exposure to causal AI, agentic systems, or LLM applications 💼 Why Join Join More ❯

lead Agile teams to deliver robust outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please either apply More ❯

Metadata & Lineage Management — Design metadata models, lineage tracking, and glossaries; implement automated enrichment, sensitive data detection, and trust indicators. Integration & Automation — Build and maintain connectors across platforms like Snowflake, Databricks, Tableau, Power BI, and Salesforce . Implement REST APIs and event-driven automation for near real-time metadata synchronization. Data Governance Enablement — Define RBAC, data ownership models, workflows, and certification More ❯

Metadata & Lineage Management — Design metadata models, lineage tracking, and glossaries; implement automated enrichment, sensitive data detection, and trust indicators. Integration & Automation — Build and maintain connectors across platforms like Snowflake, Databricks, Tableau, Power BI, and Salesforce . Implement REST APIs and event-driven automation for near real-time metadata synchronization. Data Governance Enablement — Define RBAC, data ownership models, workflows, and certification More ❯

concepts into business language. Demonstrated ability to lead client discussions, influence decisions, and build trusted advisor relationships. Preferred: Experience with additional cloud platforms (Azure, GCP) or data technologies (Snowflake, Databricks, Redshift, etc.). Familiarity with data governance, data quality frameworks, and metadata management tools. Certifications such as AWS Certified Data Analytics - Specialty or AWS Certified Solutions Architect. 3rd party and More ❯